• 17 Posts
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Joined 1 year ago
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Cake day: March 22nd, 2024

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  • OK, while in principle this looks bad…

    This is (looking it up) like an experienced engineer’s salary in Peru, in line with some other professions.

    It’s reasonable to compensate a president, and for the expectation to not be coming in rich/connected enough to not need a salary. Nor for them to broker power for personal wealth, all as long as other offices and reasonably compensated too.

    It avoids perverse incentives, doesn’t seem excessive and TBH is probably a drop in the Peruvian govt’s budget.


  • brucethemoose@lemmy.worldtoScience Memes@mander.xyzJupiter
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    1 day ago

    The junocam page has raw shots from the actual device: https://www.msss.com/all_projects/junocam.php

    Caption of another:

    Multiple images taken with the JunoCam instrument on three separate orbits were combined to show all areas in daylight, enhanced color, and stereographic projection.

    In other words, the images you see are heavily processed composites…

    Dare I say, “AI enhanced,” as they sometimes do use ML algorithms for astronomy. Though ones designed for scientific usefulness, of course, and mostly for pattern identification in bulk data AFAIK.






  • What about ‘edge enhancing’ NNs like NNEDI3? Or GANs that absolutely ‘paint in’ inferred details from their training? How big is the model before it becomes ‘generative?’

    What about a deinterlacer network that’s been trained on other interlaced footage?

    My point is there is an infinitely fine gradient through time between good old MS paint/bilinear upscaling and ChatGPT (or locally runnable txt2img diffusion models). Even now, there’s an array of modern ML-based ‘editors’ that are questionably generative most probably don’t know are working in the background.


  • brucethemoose@lemmy.worldto196@lemmy.blahaj.zoneCamp Rule
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    2 days ago

    that’s a weird hill to die on, to be honest.

    Welcome to Lemmy (and Reddit).

    Makes me wonder how many memes are “tainted” with oldschool ML before generative AI was common vernacular, like edge enhancement, translation and such.

    A lot? What’s the threshold before it’s considered bad?







  • This is why work/life balance is so important. I wouldn’t ever call myself “well-off” but I don’t have kids and my job allows me ample time off to play games and watch movies and shit.

    Neither do they! They aren’t workaholics, they’re home bodies that work the least they can!

    It’s just that the workplaces are shit. One went back to mandated RTO for no reason even though much of the work is overseas at odd hours. The company’s literally trying to make employees miserable so they quit without severence. The other is work-from-home, but with enough pointless meetings and complete workplace dysfunction to eat energy.

    And these seem like well above average jobs.